Natural Language Processing (NLP) Jobs in Bangalore (Bengaluru)

Explore top Natural Language Processing (NLP) Job opportunities in Bangalore (Bengaluru) from Top Companies & Startups. All jobs are added by verified employees who can be contacted directly below.
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Top Management Consulting Company

Agency job
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Bengaluru (Bangalore), Gurugram
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2 - 8 yrs
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₹10L - ₹35L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Python
+11 more
Greetings!!

We are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:

Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
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DP
Posted by HariPrasad Jonnalagadda
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Remote, Hyderabad, Bengaluru (Bangalore)
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9 - 20 yrs
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₹10L - ₹15L / yr
Natural Language Processing (NLP)
Data Science
Machine Learning (ML)
Computer Vision
recommendation algorithm

Expert in Machine Learning (ML) & Natural Language Processing (NLP).

Expert in Python, Pytorch and Data Structures.

Experience in ML model life cycle (Data preparation, Model training and Testing and ML Ops).

Strong experience in NLP, NLU and NLU using transformers & deep learning.

Experience in federated learning is a plus

Experience with knowledge graphs and ontology.

Responsible for developing, enhancing, modifying, optimizing and/or maintaining applications, pipelines and codebase in order to enhance the overall solution.

Experience working with scalable, highly-interactive, high-performance systems/projects (ML).

Design, code, test, debug and document programs as well as support activities for the corporate systems architecture.

Working closely with business partners in defining requirements for ML applications and advancements of solution.

Engage in specifications in creating comprehensive technical documents.

Experience / Knowledge in designing enterprise grade system architecture for solving complex problems with a sound understanding of object-oriented programming and Design Patterns.

Experience in Test Driven Development & Agile methodologies.

Good communication skills - client facing environment.

Hunger for learning, self-starter with a drive to technically mentor cohort of developers. 16. Good to have working experience in Knowledge Graph based ML products development; and AWS/GCP based ML services.

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DP
Posted by Kovida N
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Bengaluru (Bangalore)
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0 - 5 yrs
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₹50,000 - ₹50,000 / mo
Machine Learning (ML)
Natural Language Processing (NLP)
Job description : - Data Science -Intern

About Company
Pratilipi has 20M+ monthly active users and 2M+ daily active users, and we aim to be impacting over 500M+ users in the near future.

About the Team: We're a small team of smart engineers working closely with the Product, Business and Data Science teams to build experiments and features that enable delightful experiences for our Users. We learn from each other and iterate rapidly to make a larger impact. Our Micro-services architecture allows us to be Polyglot in the technology stack. We
are completely hosted on AWS Platform. We are available to users via Web, Android and iOS.
We work in a high ownership, high responsibility environment.

Our Tech Stack: https://lnkd.in/gAR54Vy
Website - https://www.pratilipi.com/life-at-pratilipi/
Glimpse of our scale:
  • 2M+ DAU
  • 20M+ MAU
  • 1.3+ billion requests per day spread cross 40+ micro-services
  • Resting around 10TB of data
  • Daily ingestion of 500GB data

Position Responsibilities
  • Your primary focus will be in applying data science techniques, doing statistical analysis,
  • and building high quality prediction models integrated with our products
  • Engage with different stakeholders and evangelize data aware decision making
  • capabilities.
  • Define relevant metrics that can guide and influence stakeholders to the appropriate and
  • accurate insights
  • Work on different business problems by converting them to ML problems and building
  • models for solving them

Position Requirements:
  • Excellent problem solving skills
  • Hands on handling large data sets, performing statistical analysis and presenting results.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN,
  • Naive Bayes, SVM, CART, Deep Learning, and NLP
  • Experience with common data science toolkits, such as NumPy, Tensor Flow, scikit-learn, etc.
  • Demonstrated skills in programming in Python and SQL.
  • Experience with working on cloud systems such as AWS is a plus
  • Educational qualifications should be preferably in Computer Science or statistics or engineering or a related area.

Do Not Apply If You Are Not
  • Ownership driven
  • Curious in general
  • Self motivated
  • Use to work in a chaotic environment
  • Highly proactive
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Bengaluru (Bangalore)
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6 - 10 yrs
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₹13L - ₹25L / yr
Machine Learning (ML)
Python
Data Science
Natural Language Processing (NLP)
Computer Vision
+3 more
Description
Duties and Responsibilities:
 Research and Develop Innovative Use Cases, Solutions and Quantitative Models
 Quantitative Models in Video and Image Recognition and Signal Processing for cloudbloom’s
cross-industry business (e.g., Retail, Energy, Industry, Mobility, Smart Life and
Entertainment).
 Design, Implement and Demonstrate Proof-of-Concept and Working Proto-types
 Provide R&D support to productize research prototypes.
 Explore emerging tools, techniques, and technologies, and work with academia for cutting-
edge solutions.
 Collaborate with cross-functional teams and eco-system partners for mutual business benefit.
 Team Management Skills
Academic Qualification
 7+ years of professional hands-on work experience in data science, statistical modelling, data
engineering, and predictive analytics assignments
 Mandatory Requirements: Bachelor’s degree with STEM background (Science, Technology,
Engineering and Management) with strong quantitative flavour
 Innovative and creative in data analysis, problem solving and presentation of solutions.
 Ability to establish effective cross-functional partnerships and relationships at all levels in a
highly collaborative environment
 Strong experience in handling multi-national client engagements
 Good verbal, writing & presentation skills
Core Expertise
 Excellent understanding of basics in mathematics and statistics (such as differential
equations, linear algebra, matrix, combinatorics, probability, Bayesian statistics, eigen
vectors, Markov models, Fourier analysis).
 Building data analytics models using Python, ML libraries, Jupyter/Anaconda and Knowledge
database query languages like  SQL
 Good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM,
Decision Forests. 
 Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the
fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis
of a lot of predictive performance or algorithm optimization techniques. 
 Deep learning : CNN, neural Network, RNN, tensorflow, pytorch, computervision,
 Large-scale data extraction/mining, data cleansing, diagnostics, preparation for Modeling
 Good applied statistical skills, including knowledge of statistical tests, distributions,
regression, maximum likelihood estimators, Multivariate techniques & predictive modeling
cluster analysis, discriminant analysis, CHAID, logistic & multiple regression analysis
 Experience with Data Visualization Tools like Tableau, Power BI, Qlik Sense that help to
visually encode data
 Excellent Communication Skills – it is incredibly important to describe findings to a technical
and non-technical audience
 Capability for continuous learning and knowledge acquisition.
 Mentor colleagues for growth and success
 Strong Software Engineering Background
 Hands-on experience with data science tools
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Pune, Bengaluru (Bangalore)
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6 - 8 yrs
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₹15L - ₹25L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Artificial Intelligence (AI)
+6 more
Company Profile
XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.

● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
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Series E level established Unicorn startup in B2C.

Agency job
via TekLects Technologies by Prachi Naware
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Bengaluru (Bangalore), Gurugram
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3 - 5 yrs
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₹35L - ₹60L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Experience - 3 to 5 years into DataScience
 
WFO, HSR Layout, Bangalore,
Positions - 10 open.
 
3 rounds of interview
 
Ø R1- coding skills with Python (majorly) or Java
 
Ø R2- Technical on DS projects handled as IC
 
Ø R3- HM round for 45 mins
 
Ø R4- HR discussion
 
 
 
Data Scientist II
 
Required
 
- Startup mindset to experiment, fail fast and learn rapidly.
 
- Data orientation, excellent data analysis skills
 
- Very good at problem solving
 
- 3-5+ years of proven successful experience in defining/refining business goals, formulating approach, building and deploying AI/ML models at large scale and optimizing further and driving business impact
 
- 1+ years' experience working with Big Data systems (eg Spark, Hive, Map-Reduce, Scala, etc); streaming technologies (Kafka, Apache Flink / Spark Streaming or any other similar tools
 
- Strong experience and deep understanding of various AI/ML techniques - supervised learning, unsupervised learning, deep learning and NLP. 
 
- Very good understanding of machine learning frameworks - Keras, Scikit learn, tensorflow, etc
 
- Strong experience with Python
 
- Good understanding of math required for AI/ML
 
- Experience with AWS or GCP Machine learning platform
 
- Experience in mentoring junior Machine learning engineers
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DP
Posted by Honey Jain
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Bengaluru (Bangalore)
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2 - 4 yrs
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₹10L - ₹16L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
+2 more
Proficient knowledge of programming in Python-strong understanding of data structures

Conceive, design and build NLP applications. Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn).

Ability to wrangle both Unstructured and Structured data. Identify new research avenues, improving existing systems, developing the right tooling and frameworks.

Work on research problems in information extraction, search and language processing.

Turn research and prototypes into production systems collaborating with backend and infrastructure engineers.

Remain updated in the rapidly changing field of machine learning and NLP. Extend ML libraries and frameworks to apply in NLP tasks

• Perform statistical analysis of results and refine models. • Proficient understanding of code versioning tools, such as Git

Qualifications:

2-4 years' experience as an NLP engineer or a similar role. • A Bachelor's degree in Computer Science or Higher.

Good Communication Skills

• Ability to work independently, eager to learn and a team player
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Bengaluru (Bangalore)
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3 - 7.5 yrs
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₹10L - ₹25L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Spark
Software deployment
+1 more
Job ID: ZS0701

Hi,

We are hiring for Data Scientist for Bangalore.

Req Skills:

  • NLP 
  • ML programming
  • Spark
  • Model Deployment
  • Experience processing unstructured data and building NLP models
  • Experience with big data tools pyspark
  • Pipeline orchestration using Airflow and model deployment experience is preferred
Read more
DP
Posted by Sarumathi NH
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Bengaluru (Bangalore)
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4 - 8 yrs
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Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Neural networks
Scikit-Learn
+2 more

With 30B+ medical and pharmacy claims covering 300M+ US patients, Compile Data helps life science companies generate actionable insights across different stages of a drug's lifecycle. Through context driven record-linking and machine-learning algorithms, Compile's platform transforms messy and disparate datasets into an intuitive graph of healthcare providers and all their activities.

 

Responsibilities:

  • Help build intelligent systems to cleanse and record-link healthcare data from over 200 sources
  • Build tools and ML modules to generate insights from hard to analyse healthcare data, and help solve various business needs of large pharma companies
  • Mentoring and growing a data science team

Requirements:
  • 4-8 years of experience in building ML models, preferably in healthcare
  • Worked with NN and ML algorithms, solved problems using panel and transactional data
  • Experience working on record-linking problems and NLP approaches towards text normalization and standardization is a huge plus
  • Proven experience as an ML Lead, worked in Python or R; with experience in developing big-data ML solutions at scale and integration with production software systems
  • Ability to craft context around key business requirements and present ideas in business and user friendly language
Read more
DP
Posted by Komal Samudrala
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Bengaluru (Bangalore)
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3 - 6 yrs
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₹7L - ₹30L / yr
Machine Learning (ML)
Natural Language Processing (NLP)
Python
Data Science
PySpark

Job ID: ZS0705

Data Scientist
Job description:
Exp: 3-6 Yrs
Location: Bangalore
Notice: Immediate to 15 days

Responsibilities:

  • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner;
  • Execute statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large data sets to identify trends, figures and other relevant information;
  • Evaluate emerging datasets and technologies that may contribute to our analytical platform;
  • Participate in development of select assets/accelerators that create scale;
  • Contribute to thought leadership through research and publication support;
  • Guide and mentor Associates on teams.

Qualifications:

 
  • 3-6 years of relevant post-collegiate work experience;
  • Knowledge of big data/advanced analytics concepts and algorithms (e.g. text mining, social listening, recommender systems, predictive modeling, etc.);
  • Should have experience on NLP, Pyspark
  • Exposure to tools/platforms (e.g. Hadoop eco system and database systems);
  • Agile project planning and project management skills;
  • Relevant domain knowledge preferred; (healthcare/transportation/hi-tech/insurance);
  • Excellent oral and written communication skills;
  • Strong attention to detail, with a research-focused mindset;
  • Excellent critical thinking and problem solving skills;
  • High motivation, good work ethic and maturity.
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Contact Center software that leverages AI to improve custome

Agency job
via Qrata by Rayal Rajan
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Bengaluru (Bangalore)
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4 - 8 yrs
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₹17L - ₹40L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Amazon Web Services (AWS)
Python
+4 more
Role: Machine Learning Engineer

As a machine learning engineer on the team, you will
• Help science and product teams innovate in developing and improving end-to-end
solutions to machine learning-based security/privacy control
• Partner with scientists to brainstorm and create new ways to collect/curate data
• Design and build infrastructure critical to solving problems in privacy-preserving machine
learning
• Help team self-organize and follow machine learning best practice.

Basic Qualifications

• 4+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• 4+ years of programming experience with at least one modern language such as Java,
C++, or C# including object-oriented design
• 4+ years of professional software development experience
• 4+ years of experience as a mentor, tech lead OR leading an engineering team
• 4+ years of professional software development experience in Big Data and Machine
Learning Fields
• Knowledge of common ML frameworks such as Tensorflow, PyTorch
• Experience with cloud provider Machine Learning tools such as AWS SageMaker
• Programming experience with at least two modern language such as Python, Java, C++,
or C# including object-oriented design
• 3+ years of experience contributing to the architecture and design (architecture, design
patterns, reliability and scaling) of new and current systems
• Experience in python
• BS in Computer Science or equivalent
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DP
Posted by Dhwani Rambhia
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹5L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Data Analytics
+18 more

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

 

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

 

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

 

Location: Bangalore

 

Roles & Responsibilities

  • Individual contributor
  • Developing and maintaining an end-to-end data science project
  • Deploying scalable applications on different platform
  • Ability to analyze and enhance the efficiency of existing products

 

What are we looking for?

  • 3 to 5 Years of experience as a Data Scientist
  • Skilled in Data Analysis, EDA, Model Building, and Analysis.
  • Basic coding skills in Python
  • Decent knowledge of Statistics
  • Creating pipelines for ETL and ML models.
  • Experience in the operationalization of ML models
  • Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
  • Hands-on experience in Keras, PyTorch or Tensorflow

 

 

Basic Qualifications

  • Tech/BE in Computer Science or Information Technology
  • Certification in AI, ML, or Data Science is preferred.
  • Master/Ph.D. in a relevant field is preferred.

 

 

Preferred Requirements

  • Exp in tools and packages like Tensorflow, MLFlow, Airflow
  • Exp in object detection techniques like YOLO
  • Exposure to cloud technologies
  • Operationalization of ML models
  • Good understanding and exposure to MLOps

 

 

Kindly note: Salary shall be commensurate with qualifications and experience

 

 

 

 

Read more
DP
Posted by Prabhudev S
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Bengaluru (Bangalore)
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2 - 9 yrs
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₹10L - ₹30L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Python
C
+2 more

About the Role:  

As a Speech Engineer you will be working on development of on-device multilingual speech recognition systems. 

  • Apart from ASR you will be working on solving speech focused research problems like speech enhancement, voice analysis and synthesis etc. 
  • You will be responsible for building complete pipeline for speech recognition from data preparation to deployment on edge devices. 
  • Reading, implementing and improving baselines reported in leading research papers will be another key area of your daily life at Saarthi. 

Requirements:  

  • 2-3 year of hands-on experience in speech recognitionbased projects 
  • Proven experience as a Speech engineer or similar role 
  • Should have experience of deployment on edge devices 
  • Candidate should have hands-on experience with open-source tools such as Kaldi, Pytorch-Kaldi and any of the end-to-end ASR tools such as ESPNET or EESEN or DeepSpeech Pytorch
  • Prior proven experience in training and deployment of deep learning models on scale 
  • Strong programming experience in Python,C/C++, etc. 
  • Working experience with Pytorch and Tensorflow
  • Experience contributing to research communities including publications at conferences and/or journals 
  • Strong communication skills 
  • Strong analytical and problem-solving skills
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Bengaluru (Bangalore)
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2 - 4 yrs
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₹9L - ₹15L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Python
+4 more

Key deliverables for the Data Science Engineer would be to help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

What will you do?

  • You will be building and deploying ML models to solve specific business problems related to NLP, computer vision, and fraud detection.
  • You will be constantly assessing and improving the model using techniques like Transfer learning
  • You will identify valuable data sources and automate collection processes along with undertaking pre-processing of structured and unstructured data
  • You will own the complete ML pipeline - data gathering/labeling, cleaning, storage, modeling, training/testing, and deployment.
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques.
  • Building predictive models and machine-learning algorithms to apply to data sets.
  • Coordinate with different functional teams to implement models and monitor outcomes.
  •  
  • Presenting information using data visualization techniques and proposing solutions and strategies to business challenges


We would love to hear from you if :

  • You have 2+ years of experience as a software engineer at a SaaS or technology company
  • Demonstrable hands-on programming experience with Python/R Data Science Stack
  • Ability to design and implement workflows of Linear and Logistic Regression, Ensemble Models (Random Forest, Boosting) using R/Python
  • Familiarity with Big Data Platforms (Databricks, Hadoop, Hive), AWS Services (AWS, Sagemaker, IAM, S3, Lambda Functions, Redshift, Elasticsearch)
  • Experience in Probability and Statistics, ability to use ideas of Data Distributions, Hypothesis Testing and other Statistical Tests.
  • Demonstrable competency in Data Visualisation using the Python/R Data Science Stack.
  • Preferable Experience Experienced in web crawling and data scraping
  • Strong experience in NLP. Worked on libraries such as NLTK, Spacy, Pattern, Gensim etc.
  • Experience with text mining, pattern matching and fuzzy matching

Why Tartan?
  • Brand new Macbook
  • Stock Options
  • Health Insurance
  • Unlimited Sick Leaves
  • Passion Fund (Invest in yourself or your passion project)
  • Wind Down
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Top Management Consulting Company

Agency job
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Gurugram, Bengaluru (Bangalore)
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2 - 9 yrs
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₹10L - ₹38L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
PySpark
+1 more
Greetings!!

We are looking for a Machine Learning engineer for on of our premium client.
Experience: 2-9 years
Location: Gurgaon/Bangalore
Tech Stack:

Python, PySpark, the Python Scientific Stack; MLFlow, Grafana, Prometheus for machine learning pipeline management and monitoring; SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS; Django, GraphQL and ReactJS for horizontal product development; container technologies such as Docker and Kubernetes, CircleCI/Jenkins for CI/CD, cloud solutions such as AWS, GCP, and Azure as well as Terraform and Cloudformation for deployment
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a global provider of Business Process Management company

Agency job
via Jobdost by Saida Jabbar
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Mumbai, Pune, Bengaluru (Bangalore), Gurugram, Nashik, Chennai
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7 - 11 yrs
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₹18L - ₹25L / yr
Kofax
RPAS
Machine Learning (ML)
Data Science
Statistical Analysis
+2 more

Job Description:

Role Summary:

The Robotics Process Automation Business Analyst helps define the business case for the proposed automation of the business processes by reviewing the current process, identifying the automation potential of the process, and the potential FTE takeout. The process architect working with the customer subject matter experts, and the technical architect designs the steps in the process that can be automated (with or without reengineering), and which serves as a basis for the development team to implement the robotics.

The business analyst will also review the design at the design stage, validates the developed automation to ensure it meets the intended design and the business benefits.

 

B1 – Data Scientist - Kofax Accredited Developers

 

Total Experience – 7-10 Years

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders , like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

 

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA with 15+ years of full time education

 

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Mumbai, Bengaluru (Bangalore), Gurugram
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1 - 4 yrs
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₹12L - ₹30L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
pandas
+7 more

At Anarock Tech, we are building a modern technology platform with automated analytics and reporting tools. This offers timely solutions to our real estate clients while delivering financially favourable and efficient results.

If it excites you to - drive innovation, create industry-first solutions, build new capabilities ground-up, and work with multiple new technologies, ANAROCK is the place for you.

We are looking for a Machine Learning (ML) Engineer to help us create artificial intelligence products. Machine Learning Engineer’s responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and programming. If you also have knowledge of data science and software engineering, we’d like to meet you. Your ultimate goal will be to shape and build efficient self-learning applications.

Key job responsibilities

  • Designing and developing machine learning and deep learning systems
  • Running machine learning tests and experiments
  • Implementing appropriate ML algorithms

Basic Qualifications

  • Good understanding of Algorithms and data structures.
  • Experience in designing scalable systems ML is a plus
  • Expert programming experience in any one general programming language (strong OO skills preferred). Experience in at least one general programming language (Ruby, Python, Java, Elixir, C/C++)
  • Experience with ML/DL frameworks

Experience with pandas, numpy etc.

Skills that will help you build a success story with us

  • Worked in a start-up environment with high levels of ownership and full dedication.
  • Experience in NoSQL datastores like Redis, MongoDB, Couchdb etc with an understanding of  underlying sharding and scaling techniques
  • Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with a huge amount of data

Experience: 1 - 4 years

 

Locations: Bangalore or Mumbai or Gurgaon

 

Quick Glances:

 

 


 

Anarock Ethos - Values Over Value:

Our assurance of consistent ethical dealing with clients and partners reflects our motto - Values Over Value.

We value diversity within ANAROCK Group and are committed to offering equal opportunities in employment. We do not discriminate against any team member or applicant for employment based on nationality, race, color, religion, caste, gender identity / expression, sexual orientation, disability, social origin and status, indigenous status, political opinion, age, marital status or any other personal characteristics or status. ANAROCK Group values all talent and will do its utmost to hire, nurture and grow them

 

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Bengaluru (Bangalore)
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4 - 6 yrs
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₹4L - ₹14L / yr
Python
Machine Learning (ML)
Artificial Intelligence (AI)
Natural Language Processing (NLP)
Image Processing
+6 more

Job Description –Sr. Python Developer


Job Brief

The job requires Python experience as well as expertise with AI/ML. This Developer is expected to have strong technical skills, to work closely with the other team members in development and managing key projects. Ability to work on a small team with minimal supervision, Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality

Job Requirement

  • 4 plus Years of Python relevant experience 
  • Good at communication skills and Email etiquette
  • Quick learner and should be a team player
  • Experience in working on python framework
  • Experience in Developing With Python & MySQL on LAMP/LEMP Stack
  • Experience in Developing an MVC Application with Python
  • Experience with Threading, Multithreading and pipelines
  • Experience in Creating RESTful API’s With Python in JSON, XMLs
  • Experience in Designing Relational Database using MySQL And Writing Raw SQL Queries
  • Experience with GitHub Version Control
  • Ability of Write Custom Python Code
  • Excellent working knowledge of AI/ML based application
  • Experience in OpenCV/TensorFlow/ SimpleCV/PyTorch
  • Experience working in agile software development methodology
  • Understanding of end-to-end ML project lifecycle
  • Understanding of cross platform OS systems like Windows, Linux or UNIX with hands-on working experience

Responsibilities

  • Participate in the entire development lifecycle, from planning through implementation, documentation, testing, and deployment, all the way to monitoring.
  • Produce high quality, maintainable code with great test coverage
  • Integration of user-facing elements developed by front-end developers
  • Build efficient, testable, and reusable Python/AI/ML modules
  • Solve complex performance problems and architectural challenges
  • Help with designing and architecting the product
  • Design and develop the web application modules or APIs
  • Troubleshoot and debug applications.
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Remote, Bengaluru (Bangalore)
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1 - 5 yrs
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₹10L - ₹25L / yr
Natural Language Processing (NLP)
BERT
Machine Learning (ML)
Data Science
Natural Language Toolkit (NLTK)
+7 more

Job Description

  • Build state of the art langugae models to understand vernacular languages.
  • Build and push machine learning models to optimise the results.
  • Consume real-time data and build layers around that to leverage customer understanding.
  • Our state-of-the-art models are ingesting and generating relevant search results for our customers weekly. Work directly with our current models to tune them to the abundant inflow of data as well as architecting new ones to further infuse AI into search workflows.
  • Bee an integral part of Zevi, working on the core tech that makes our product what it is today. It doesn’t stop there though: As we collect more and more insights, get ready to shape the future of search.

Skills and Experience expected:

  • Have at least 2 years of experience working with language models, building, fine-tuning, training them.
  • Have closely read NLP publications and implemented some of them.
  • Have designed and implemented a scalable ML infrastructure that is both secure and modular.
  • Have pushed deep learning models in production.
  • Have been responsible for breaking down and solving complex problems.
  • Have developed engineering principles and designed processes/workflows.
  • Have experience working in Python, sklearn, Pytorch, Tensorflow, and are an expert in at least one of those technologies.

What can you expect from Zevi ?

  • Closely work with leading enterprise engineering teams.
  • Be a part of highly motivated core team.
  • Get access and contribute to all strategies being built by Zevi.
  • Full ownership of your product line.
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DP
Posted by Sangram Matkar
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Bengaluru (Bangalore)
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2 - 7 yrs
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Best in industry
SQL
MySQL
Python
Tableau
PowerBI
+4 more

About Quizizz
Quizizz is one of the fastest-growing EdTech platforms in the world. Our team is on a mission to motivate every student and our learning platform is used by more than 75 million people per month in over 125 countries, including 80% of U.S. schools.

We have phenomenal investors, we’re profitable, and we’re committed to growing and improving every day. If you’re excited about international SaaS and want to build towards a mission that you can be proud of then Quizizz might be a good fit for you.

We currently have offices in India and the U.S. with incredible team members around the world and we hope you’ll join us.

 

Role

We are looking for an experienced Product Analyst. The role offers an exciting opportunity to shape the future of the product, significantly. The team is responsible for supporting all decisions being taken by other teams, to improve growth, engagement and revenue of the platform. Furthermore, the team sets up and maintains internal tools, apps, dashboards, processes and functions as arbiters of information within the organization.


The variety of tasks is immense and will give you the chance to play to your strengths. Tasks could include; improving search and recommendations, data mining, identifying potential customers, ad-hoc analyses, creating APIs for internal consumption et cetera.

Some of the challenges you will face include:

  • Working cross-functionally with design, engineering, sales and marketing teams to aid in decision making.
  • Analyze and conclude experiments of new product features.
  • Creating, maintaining, and modifying internal dashboards, apps and reports being used, as part of the larger analytics function at Quizizz.
  • Deep diving into data to extract insights that could help explain a certain phenomenon.
  • Organizing the analytics warehouse, as and when new data is added.

Requirements:

  • At least 2 years of industry experience, providing solutions to business problems in a cross-functional team.
  • Versatility to communicate clearly with both technical and non-technical audiences.
  • An SQL expert, and strong programming skills. (Python preferred)
  • Mathematical thinking.
  • Attention to Detail.

 

Good to have:

  • Experience with Jupyter (/iPython) notebooks.
  • Experience using a data visualization tool such as Tableau, Google Data Studio, Qlikview, Power BI, RShiny.
  • Ability to create simple data apps/APIs. (we use flask or node.js)
  • Knowledge of Natural Language Processing techniques.
  • Data analytical and data engineering experience.

Benefits:

At Quizizz, we have built a world-class team of talented individuals. While we all care deeply about our work, we also ensure that we maintain a healthy work-life balance. Our policies are designed to ensure the well-being and comfort of our employees. Some of the benefits we offer include:

    • Healthy work-life balance. Put in your 8 hours, and enjoy the rest of your day.
    • Flexible leave policy. Take time off when you need it.
    • Comprehensive health coverage of Rs. 6 lakhs, covering the employee and their parents, spouse and children. Pre-existing conditions are covered from day 1, and also benefits like free doctor consultations and more.
    • Relocation support including travel and accommodation, and we'll also pay for a broker to find your home in Bangalore!
    • Rs. 20,000 annual health and wellness allowance.
    • Professional development support. We will reimburse you for relevant courses and books that you need to become a better professional.
    • Delicious Meals including breakfast and lunch served at office, and a fully-stocked pantry for all your snacking needs.

 

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DP
Posted by Abhishek N
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Bengaluru (Bangalore)
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4 - 8 yrs
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Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm
Acceldata is creating the Data observability space. We make it possible for data-driven enterprises to effectively monitor, discover, and validate Data pipelines at Petabyte scale. Our customers include a Fortune 500 company, one of Asia's largest telecom companies, and a unicorn fintech startup. We are lean, hungry, customer-obsessed, and growing fast.
Our Engineering team values productivity, integrity, and pragmatism. 

Job Description-
We are looking for a seasoned ML engineer who is able to understand customer needs along with any technical constraints, and be responsible for conceiving the product idea based on variety and amount of data we have available with us (in the BigData ecosystem), and then can translate them into product features leading to the success of our customers. The ML engineer will also be expected to design the overall functionality of the product, coding ML applications in distributed environments and seeing them through production.

Basic Qualifications:
● Degree in Computer Science, Mathematics, Data Science, Statistics or equivalent proven experience.
● Experience as an ML Engineer or Data scientist, ideally from a data or software engineering background.
● Minimum 4+ years of hands-on experience in developing and deploying(Docker, Kubernetes, etc) machine learning solutions into production environments.
● Excellent programming skills in Python and Scala and hands-on with Spark.
● Proficient with any of the Machine learning or Deep Learning framework like sklearn, spark ML,TensorFlow/Keras, PyTorch
● Strong system design and architecture skills, having individually led a project from design to delivery
● Exposure to container orchestration of production environments, DevOps and CI/CD

Plus:
● Experience with a JVM based language (Java, Scala, Kotlin) is a plus.
● Experience with time series data analysis and models
● Familiarity with cloud environments (GCP, AWS, Azure).
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Top 3 Fintech Startup

Agency job
via Jobdost by Sathish Kumar
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Bengaluru (Bangalore)
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4 - 7 yrs
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₹11L - ₹17L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
Python
+6 more
Responsible to lead a team of analysts to build and deploy predictive models to infuse core business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business
questions.

Lead a team through the entire analytical and machine learning model life cycle:

 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists
Read more

Fintech Company

Agency job
via Jobdost by Sathish Kumar
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Bengaluru (Bangalore)
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1 - 3 yrs
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₹9L - ₹12L / yr
Python
SQL
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
+3 more
Job Responsibilities:

1+ years of proven experience in ML/AI with Python

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

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Global Banking Client

Agency job
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Bengaluru (Bangalore)
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9 - 12 yrs
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₹28L - ₹32L / yr
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Work Location - Bangalore

 

The Data Analytics Senior Analyst is a seasoned professional role. Applies in-depth disciplinary knowledge, contributing to the development of new techniques and the improvement of processes and work-flow for the area or function. Integrates subject matter and industry expertise within a defined area. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Regularly assumes informal/formal leadership role within teams. Involved in coaching and training of new recruits. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Work and performance of all teams in the area are directly affected by the performance of the individual.

Responsibilities:

  • Build and enhance the software stack for modelling and data analytics
  • Incorporate relevant data related algorithms in the products to solve business problems and improve them over time
  • Automate repetitive data modelling and analytics tasks
  • Keep up to date with available relevant technologies, to solve business problems
  • Become a subject matter expert and closely work with analytics users to understand their need & provide recommendations/solutions
  • Help define/share best practices for the business users and  enforce/monitor that best practices are being incorporated for better efficiency (speed to market & system performance)
  • Share daily/weekly  progress made by the team
  • Work with senior stakeholders & drive the discussions independently
  • Mentor and lead a team of software developers on analytics related product development practices


Qualifications:

  • 10-13 years of data engineering experience.
  • Experience in working on machine-learning model deployment/scoring, model lifecycle management and model performance measurement.
  • In-depth understanding of statistics and probability distributions, with experience of applying it in big-data software products for solving business problems
  • Hands-on programming experience with big-data and analytics related product development using Python, Spark and Kafka to provide solutions for business needs.
  • Intuitive with good interpersonal-skills, time-management and task-prioritization
  • Ability to lead a technical team of software developers and mentor them on good software development practices.
  • Ability to quickly grasp the business problem and nuances when put forth.
  • Ability to quickly put together an execution plan and see it through till closure.
  • Strong communication, presentation and influencing skills.


Education:

  • Bachelor’s/University degree or equivalent experience
  • Data Science or Analytics specialization preferred

 

 

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Fintech Company

Agency job
via Jobdost by Sathish Kumar
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Bengaluru (Bangalore)
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6 - 8 yrs
icon
₹12L - ₹20L / yr
Machine Learning (ML)
Artificial Intelligence (AI)
Python
SQL
DevOps
+9 more

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.


Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists


Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)


 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus


Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark


Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

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DP
Posted by Michael Hoppitt
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Bengaluru (Bangalore)
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1 - 6 yrs
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Best in industry
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Traffic Cop 3D and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope and Die by the Blade. 

With a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, we have a truly global team making games for a global audience. And it’s paying off: Kwalee games have been downloaded in every country on earth! If you think you’re a good fit for one of our remote vacancies, we want to hear from you wherever you are based.

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As a Junior Data Scientist you will help utilise masses of data generated by Kwalee players all over the world to solve complex problems using cutting edge techniques.   

What you tell your friends you do 

"My models optimise the performance of Kwalee games and advertising every day!”

What you will really be doing 

  • Building intelligent systems which generate value from the data which our players and marketing activities produce.
  • Leveraging statistical modelling and machine learning techniques to perform automated decision making on a large scale.
  • Developing complex, multi-faceted and highly valuable data products which fuel the growth of Kwalee and our games.
  • Owning and managing data science projects from concept to deployment.
  • Collaborating with key stakeholders across the company to develop new products and avenues of research.

How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.
  • You'll think creatively and be motivated by challenges and constantly striving for the best.
  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!

Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.

Skills and Requirements

  • A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences
  • A record of outstanding contribution to data science projects.
  • Experience using Python for data analysis and visualisation.
  • A good understanding of a deep learning framework such as Tensorflow.
  • Experience manipulating data in SQL and/or NoSQL databases

We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment
  • In addition to a competitive salary we also offer private medical cover and life assurance
  • Creative Wednesdays!(Design and make your own games every Wednesday)
  • 20 days of paid holidays plus bank holidays 
  • Hybrid model available depending on the department and the role
  • Relocation support available 
  • Great work-life balance with flexible working hours
  • Quarterly team building days - work hard, play hard!
  • Monthly employee awards
  • Free snacks, fruit and drinks

Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

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Curl Tech

Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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3 - 10 yrs
icon
₹15L - ₹25L / yr
Deep Learning
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
Computer Vision
+1 more

Company Name: Curl Tech

Location: Bangalore

Website: www.curl.tech

Company Profile: Curl Tech is a deep-tech firm, based out of Bengaluru, India. Curl works on developing Products & Solutions leveraging emerging technologies such as Machine Learning, Blockchain (DLT) & IoT. We work on domains such as Commodity Trading, Banking & Financial Services, Healthcare, Logistics & Retail.

Curl has been founded by technology enthusiasts with rich industry experience. Products and solutions that have been developed at Curl, have gone on to have considerable success and have in turn become separate companies (focused on that product / solution).

If you are looking for a job, that would challenge you and desire to work with an organization that disrupts entire value chain; Curl is the right one for you!

Designation: Data Scientist or Junior Data Scientist (according to experience)

Job Description:

Good with Machine Learning and Deep learning, good with programming and maths.

Details: The candidate will be working on many image analytics/ numerical data analytics projects. The work involves, data collection, building the machine learning models, deployment, client interaction and publishing academic papers.

Responsibilities:

  • The candidate will be working on many image analytics/numerical data projects.

  • Candidate will be building various machine learning models depending upon the requirements.

  • Candidate would be responsible for deployment of the machine learning models.

  • Candidate would be the face of the company in front of the clients and will have regular client interactions to understand that client requirements.

    What we are looking for candidates with:

  • Basic Understanding of Statistics, Time Series, Machine Learning, Deep Learning, and their fundamentals and mathematical underpinnings.

  • Proven code proficiency in Python,C/C++ or any other AI language of choice.

  • Strong algorithmic thinking, creative problem solving and the ability to take ownership and do independent

    research.

  • Understanding how things work internally in ML and DL models is a must.

  • Understanding of the fundamentals of Computer Vision and Image Processing techniques would be a plus.

  • Expertise in OpenCV, ML/Neural networks technologies and frameworks such as PyTorch, Tensorflow would be a

    plus.

  • Educational background in any quantitative field (Computer Science / Mathematics / Computational Sciences and related disciplines) will be given preference.

Education: BE/ BTech/ B.Sc.(Physics or Mathematics)/Masters in Mathematics, Physics or related branches.

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DP
Posted by Michael Hoppitt
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Bengaluru (Bangalore)
icon
3 - 10 yrs
icon
Best in industry
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Search Engine Optimization (SEO)
+2 more

Kwalee is one of the world’s leading multiplatform game publishers and developers, with well over 750 million downloads worldwide for mobile hits such as Draw It, Teacher Simulator, Let’s Be Cops 3D, Traffic Cop 3D and Makeover Studio 3D. Alongside this, we also have a growing PC and Console team of incredible pedigree that is on the hunt for great new titles to join TENS!, Eternal Hope and Die by the Blade. 

With a team of talented people collaborating daily between our studios in Leamington Spa, Bangalore and Beijing, or on a remote basis from Turkey, Brazil, the Philippines and many more places, we have a truly global team making games for a global audience. And it’s paying off: Kwalee games have been downloaded in every country on earth! If you think you’re a good fit for one of our remote vacancies, we want to hear from you wherever you are based.

Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of global gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays, and we’re proud to have built our success on this inclusive principle. Could your idea be the next global hit?

What’s the job?

As a Data Scientist (Organic growth) you’ll utilise masses of data and cutting edge technology to maximise the organic growth of our apps.

What you will really be doing 

  • Building intelligent systems which generate value from the data which our marketing activities and app store pages produce.
  • Leverage data to increase organic traffic and conversions.
  • Design and implement AB tests to determine the best features and store elements.
  • Utilise statistical testing and predictive modelling to inform changes to app store elements.
  • Analyse and manage data from multiple sources
  • Coordinate internally with stakeholders to answer questions and produce creative

How you will be doing this

  • You’ll be part of an agile, multidisciplinary and creative team and work closely with them to ensure the best results.
  • You'll think creatively and be motivated by challenges and constantly striving for the best.
  • You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you will get it. We even have a robot!

Team

Our talented team is our signature. We have a highly creative atmosphere with more than 200 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games.

Skills and Requirements

  • A degree in a numerically focussed discipline, such as Maths, Physics, Economics, Chemistry, Biological Sciences or Engineering.
  • A record of outstanding problem solving ability in a commercial or academic setting.
  • Good knowledge of statistical methods for hypothesis testing involving a variety of experimental designs. 
  • A passion for generating value from marketing data
  • Experience analysing and managing data with tools such as Excel, SQL and Python

Desirable

  • Experience with app store optimisation or search engine optimisation.

We offer

  • We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment
  • In addition to a competitive salary we also offer private medical cover and life assurance
  • Creative Wednesdays!(Design and make your own games every Wednesday)
  • 20 days of paid holidays plus bank holidays 
  • Hybrid model available depending on the department and the role
  • Relocation support available 
  • Great work-life balance with flexible working hours
  • Quarterly team building days - work hard, play hard!
  • Monthly employee awards
  • Free snacks, fruit and drinks

Our philosophy

We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.

Kwalee makes games to bring people, their stories, and their interests together. As an employer, we’re dedicated to making sure that everyone can thrive within our team by welcoming and supporting people of all ages, races, colours, beliefs, sexual orientations, genders and circumstances. With the inclusion of diverse voices in our teams, we bring plenty to the table that’s fresh, fun and exciting; it makes for a better environment and helps us to create better games for everyone! This is how we move forward as a company – because these voices are the difference that make all the difference.

Read more

Conversational AI- Product Development company

Agency job
via The Hub by Sridevi Viswanathan
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Bengaluru (Bangalore)
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5 - 10 yrs
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₹12L - ₹15L / yr
Artificial Intelligence (AI)
Chatbot
Machine Learning (ML)
Data Science
Natural Language Processing (NLP)
+2 more

Chatbot Developer

We are a Conversational AI- Product Development company which is located in the USA, Bangalore.

 

We are looking for a Senior Chatbot /Javascript Developer to join the Avaamo PSG(delivery) team.

 

Responsibilities:

  • Independent team member for analyzing requirements, designing, coding, and implementing  Conversation AI products.
  • Its a  product expert work closely with IT Managers and Business Groups to gather requirements and translate those into the required technical solution.
  • Drive solution implementation using the Conversational design approach.
  • Develop, deploy and maintain customized extensions to the Avaamo platform-specific to customer requirements.
  • Conduct training and technical guidance sessions for partner and customer development teams.
  • Evaluating reported defects and the correction of prioritized defects.
  • Travel onsite to customer locations for close support.
  • Document how to's and implement best practices for Avaamo product solutions.

 

Requirements:

  • Strong programming experience in javascript, HTML/CSS.
  • Experience of creating and consuming REST APIs and SOAP services.
  • Strong knowledge and awareness of Web Technologies and current web trends.
  • Working knowledge of Security in Web applications and services.
  • experience in using the NodeJS framework with good understanding of the underlying architecture.
  • Experience of deploying web applications on Linux servers in production environment.
  • Excellent communication skills.

 

Good to haves:

  • Full stack experience UI and UX design experience or insights
  • Working knowledge of AI, ML and NLP.
  • Experience of enterprise systems integration like MS Dynamics CRM, Salesforce, ServiceNow, MS Active Directory etc.
  • Experience of building Single Sign On in web/mobile applications.
  • Ability to learn latest technologies and handle small engineering teams.
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DP
Posted by Meenal Sharma
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Bengaluru (Bangalore)
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2 - 4 yrs
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₹3L - ₹13L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

About us: Nexopay helps transforming digital payments and enabling instant financing for parents, across schools and colleges world-wide.

Responsibilities:

  • Work with stakeholders throughout the organisation and across entities to identify opportunities for leveraging internal and external data to drive business impact
  • Mine and analyze data to improve and optimise performance, capture meaningful insights and turn them into business advantages
  • Assess the effectiveness and accuracy of new data sources and data gathering techniques
  • Develop custom data models and algorithms to apply to data sets
  • Use predictive modeling to predict outcomes and identify key drivers
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Develop processes and tools to monitor and analyze model performance and data accuracy

 

Requirements:

  • Experience in solving business problem using descriptive analytics, statistical modelling / machine learning
  • 2+ years of strong working knowledge of SQL language
  • Experience with visualization tools e. g., Tableau, Power BI
  • Working knowledge on handling analytical projects end to end using industry standard tools (e. g., R, Python)
  • Strong presentation and communication skills
  • Experience in education sector is a plus
  • Fluency in English
Read more
DP
Posted by shanmugapriya selvam
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Bengaluru (Bangalore)
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3 - 5 yrs
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₹10L - ₹15L / yr
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
recommendation algorithm

Machine Learning & Deep Learning – Strong

Experienced in TensorFlow, PyTorch, ONNX, Object Detection,  Pretrained Models like YOLO, SSD, Faster RCNN, etc…

Python – Strong

NumPy, Pandas, OpenCV

 

Problem Solving  - strong

 

C++ - average

        It will be good if candidate have working experience in C++ in any domain

Note :: Looking for Immediate to 30 days of Notice Period

Read more
DP
Posted by Vijay Koduri
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Bengaluru (Bangalore)
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2 - 10 yrs
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₹6L - ₹20L / yr
Data Science
Machine Learning (ML)
Natural Language Processing (NLP)
Computer Vision
Audio
+6 more

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. We’re looking for a superstar engineer that is well versed with AI and audio technologies around audio detection, speech-to-text, interpretation, and sentiment analysis.  


You will be responsible for:

Developing audio algorithms to detect key moments within popular online games, such as:

Streamer speaking, shouting, etc.

Gunfire, explosions, and other in-game audio events

Speech-to-text and sentiment analysis of the streamer’s narration

Leveraging baseline technologies such as TensorFlow and others -- and building models on top of them

Building neural network architectures for audio analysis as it pertains to popular games

Specifying exact requirements for training data sets, and working with analysts to create the data sets

Training final models, including techniques such as transfer learning, data augmentation, etc. to optimize models for use in a production environment

Working with back-end engineers to get all of the detection algorithms into production, to automate the highlight creation


You should have the following qualities:

Solid understanding of AI frameworks and algorithms, especially pertaining to audio analysis, speech-to-text, sentiment analysis, and natural language processing

Experience using Python, TensorFlow and other AI tools

Demonstrated understanding of various algorithms for audio analysis, such as CNNs, LSTM for natural language processing, and others

Nice to have: some familiarity with AI-based audio analysis including sentiment analysis

Familiarity with AWS environments

Excited about working in a fast-changing startup environment

Willingness to learn rapidly on the job, try different things, and deliver results

Ideally a gamer or someone interested in watching gaming content online


Skills:

Machine Learning, Audio Analysis, Sentiment Analysis, Speech-To-Text, Natural Language Processing, Neural Networks, TensorFlow, OpenCV, AWS, Python


Work Experience:  2 years to 10 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg

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DP
Posted by Vijay Koduri
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Bengaluru (Bangalore)
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0 - 3 yrs
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₹1.5L - ₹1.8L / yr
Data Analytics
Data Annotation
Natural Language Processing (NLP)
Computer Vision
data annotation

Sizzle is an exciting new startup that’s changing the world of gaming.  At Sizzle, we’re building AI to automate gaming highlights, directly from Twitch and YouTube streams. 


For this role, we're looking for someone that ideally loves to watch video gaming content on Twitch and YouTube. Specifically, you will help generate training data for all the AI we are building. This will include gathering screenshots, clips and other data from gaming videos on Twitch and YouTube.  You will then be responsible for labeling and annotating them. You will work very closely with our AI engineers.


You will:

  • Gather training data as specified by the management and engineering team
  • Label and annotate all the training data
  • Ensure all data is prepped and ready to feed into the AI models
  • Revise the training data as specified by the engineering team
  • Test the output of the AI models and update training data needs

You should have the following qualities:

  • Willingness to work hard and hit deadlines
  • Work well with people
  • Be able to work remotely (if not in Bangalore)
  • Interested in learning about AI and computer vision
  • Willingness to learn rapidly on the job
  • Ideally a gamer or someone interested in watching gaming content online

Skills:

Data labeling, annotation, AI, computer vision, gaming


Work Experience:  0 years to 3 years


About Sizzle

Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Presently, there are over 700 million fans around the world that watch gaming videos on Twitch and YouTube. Sizzle is creating a new highlights experience for these fans, so they can catch up on their favorite streamers and esports leagues. Sizzle is available at www.sizzle.gg.
Read more

Understands the Customer Service. (CO1)

Agency job
via Multi Recruit by Paramesh P
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Bengaluru (Bangalore)
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2 - 6 yrs
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₹7L - ₹9L / yr
Artificial Intelligence (AI)
Machine Learning (ML)
Natural Language Processing (NLP)
Deep Learning
Python

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

 

KEY RESPONSIBILITIES OF THE POSITION :

  • Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
  • Solid understanding and experience of deep learning architectures and algorithms
  • Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
  • Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
  • Should have experience of 2-3 production implementations of machine learning projects.
  • Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
  • Work with business analysts/consultants and other necessary teams to create a strong solution
  • Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
  • Should developing solutions using python in AI/ML projects
  • Should be able to train and build a team of technical developers
  • Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
  • Desired to have knowledge on any of the cloud solutions such as Azure or AWS
  • Desired to have knowledge on any of container technology such as Docker
  • Should be able to build strong relationships with project stakeholders


Keywords:

  • Python
  • Artificial Intelligence
  • Machine Learning
  • AWS
  • Django
  • NLP
Read more
DP
Posted by Basant Sahoo
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Bengaluru (Bangalore)
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3 - 6 yrs
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₹12L - ₹20L / yr
Machine Learning (ML)
Deep Learning
Natural Language Processing (NLP)
Optical character recognition
Text mining
+2 more

Essenvia is an cloud based SaaS platform that helps medical device companies reduce the time and cost of bringing Medical Devices to market. It’s product suite includes collaborative multiuser  platform to prepare regulatory submissions, document management system, streamline the Medical Device regulatory pathway.

We are looking for a savvy Machine learning Engineer to join our team based out of Bangalore. The hire will be responsible for creating and managing proprietary data set for machine learning algorithms using various conventional and non-conventional data sources. The Engineer will support initiatives and will ensure optimal data delivery architecture for machine learning models. The right candidate will be excited by the prospect of becoming a key member in designing the data architecture to support our next generation of products, must be self-driven and  able to work on tight time line in start-up culture


Responsibilities
---------------------

Extract key information from various data sources

Process documents using OCR and extract key entities
Extract blocks of relevant texts using pattern recognition

Prepare structured and unstructured data pipeline for machine learning models
Assemble large, complex data sets using various data sets.


Mandatory Skills
---------------------

Knowledge of algorithm and data structure
Programming Knowledge in Python and Java
Knowledge of Text mining/ Text extraction/ Regex matching
Knowledge of OCR

Experience in data cleaning, ETL, pipeline building and model-maintenance using Airflow
Knowledge Elastic search, Neo4j and GraphQL




Desirable Skills
-----------------


Knowledge of NLP
Knowledge of preparing and using custom corpora

Prior experience in medical science datasets

Exposure to Deep Learning applications and tools like TensorFlow, Theano is preferred

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a global provider of Business Process Management company

Agency job
via Jobdost by Saida Jabbar
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Bengaluru (Bangalore)
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2 - 8 yrs
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₹12L - ₹16L / yr
RPAS
Kofax
uipath
Appian
Agile/Scrum
+17 more

Job Description

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders,like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Qualifications

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA with 15+ years of full time education

Additional information

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Read more
Agency job
via HyreSpree by HyreSpree Team
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Bengaluru (Bangalore)
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4 - 6 yrs
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₹4L - ₹20L / yr
Natural Language Processing (NLP)
PyTorch
Python
Java
Solr
+1 more
Skill Set:
  • 4+ years of experience Solid understanding of Python, Java and general software development skills (source code management, debugging, testing, deployment etc.).
  • Experience in working with Solr and ElasticSearch Experience with NLP technologies & the handling of unstructured text Detailed understanding of text pre-processing and normalisation techniques such as tokenisation, lemmatisation, stemming, POS tagging etc.
  • Prior experience in implementation of traditional ML solutions - classification, regression or clustering problem Expertise in text-analytics - Sentiment Analysis, Entity Extraction, Language modelling - and associated sequence learning models ( RNN, LSTM, GRU).
  • Comfortable working with deep-learning libraries (eg. PyTorch)
  • Candidate can even be a fresher with 1 or 2 years of experience IIIT, IIIT, Bits Pilani, top 5 local colleges are preferred colleges and universities.
  • A Masters candidate in machine learning.
  • Can source candidates from Mu Sigma and Manthan.
Read more
icon
Bengaluru (Bangalore), Hyderabad
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2 - 4 yrs
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₹4L - ₹7L / yr
Data Science
Machine Learning (ML)
Python
Amazon Web Services (AWS)
Windows Azure
+9 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more
DP
Posted by Yashika Sharma
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Hyderabad, Bengaluru (Bangalore)
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2 - 4 yrs
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₹2L - ₹4L / yr
Data Science
Computer Vision
Natural Language Processing (NLP)
Machine Learning (ML)
Python
+2 more

Responsibilities Description:

Responsible for the development and implementation of machine learning algorithms and techniques to solve business problems and optimize member experiences. Primary duties may include are but not limited to: Design machine learning projects to address specific business problems determined by consultation with business partners. Work with data-sets of varying degrees of size and complexity including both structured and unstructured data. Piping and processing massive data-streams in distributed computing environments such as Hadoop to facilitate analysis. Implements batch and real-time model scoring to drive actions. Develops machine learning algorithms to build customized solutions that go beyond standard industry tools and lead to innovative solutions. Develop sophisticated visualization of analysis output for business users.

 

Experience Requirements:

BS/MA/MS/PhD in Statistics, Computer Science, Mathematics, Machine Learning, Econometrics, Physics, Biostatistics or related Quantitative disciplines. 2-4 years of experience in predictive analytics and advanced expertise with software such as Python, or any combination of education and experience which would provide an equivalent background. Experience in the healthcare sector. Experience in Deep Learning strongly preferred.

 

Required Technical Skill Set:

  • Full cycle of building machine learning solutions,

o   Understanding of wide range of algorithms and their corresponding problems to solve

o   Data preparation and analysis

o   Model training and validation

o   Model application to the problem

  • Experience using the full open source programming tools and utilities
  • Experience in working in end-to-end data science project implementation.
  • 2+ years of experience with development and deployment of Machine Learning applications
  • 2+ years of experience with NLP approaches in a production setting
  • Experience in building models using bagging and boosting algorithms
  • Exposure/experience in building Deep Learning models for NLP/Computer Vision use cases preferred
  • Ability to write efficient code with good understanding of core Data Structures/algorithms is critical
  • Strong python skills following software engineering best practices
  • Experience in using code versioning tools like GIT, bit bucket
  • Experience in working in Agile projects
  • Comfort & familiarity with SQL and Hadoop ecosystem of tools including spark
  • Experience managing big data with efficient query program good to have
  • Good to have experience in training ML models in tools like Sage Maker, Kubeflow etc.
  • Good to have experience in frameworks to depict interpretability of models using libraries like Lime, Shap etc.
  • Experience with Health care sector is preferred
  • MS/M.Tech or PhD is a plus
Read more

A stealth mode realty tech start-up

Agency job
via Qrata by Prajakta Kulkarni
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Bengaluru (Bangalore)
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1 - 5 yrs
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₹10L - ₹32L / yr
Data Science
Natural Language Processing (NLP)
R Programming
Python
SQL
+2 more
A good understanding of the fundamentals of data science/algorithms or software
engineering
2. Preferably should have done some project or internship related to the field
3. Knowledge of SQL is a plus
4. A deep desire to learn new things and be a part of a vibrant start-up.
5. You will have a lot of freehand and this comes with immense responsibility - so it
is expected that you will be willing to master new things that come along!

Job Description:
1. Design and build a pipeline to train models for NLP problems like Classification,
NER
2. Develop APIs that showcase our models' capabilities and enable third-party
integrations
3. Work across a microservices architecture that processes thousands of
documents per day.
Read more

A global business process management company

Agency job
via Jobdost by Saida Jabbar
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Pune, Bengaluru (Bangalore), Chennai, Mumbai, Gurugram, Nashik
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5 - 10 yrs
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₹20L - ₹22L / yr
Data Science
Kofax
Data Scientist
Machine Learning (ML)
Natural Language Processing (NLP)
+5 more

B1 – Data Scientist  -  Kofax Accredited Developers

 

Requirement – 3

 

Mandatory –

  • Accreditation of Kofax KTA / KTM
  • Experience in Kofax Total Agility Development – 2-3 years minimum
  • Ability to develop and translate functional requirements to design
  • Experience in requirement gathering, analysis, development, testing, documentation, version control, SDLC, Implementation and process orchestration
  • Experience in Kofax Customization, writing Custom Workflow Agents, Custom Modules, Release Scripts
  • Application development using Kofax and KTM modules
  • Good/Advance understanding of Machine Learning /NLP/ Statistics
  • Exposure to or understanding of RPA/OCR/Cognitive Capture tools like Appian/UI Path/Automation Anywhere etc
  • Excellent communication skills and collaborative attitude
  • Work with multiple teams and stakeholders within like Analytics, RPA, Technology and Project management teams
  • Good understanding of compliance, data governance and risk control processes

Total Experience – 7-10 Years in BPO/KPO/ ITES/BFSI/Retail/Travel/Utilities/Service Industry

Good to have

  • Previous experience of working on Agile & Hybrid delivery environment
  • Knowledge of VB.Net, C#( C-Sharp ), SQL Server , Web services

 

Qualification -

  • Masters in Statistics/Mathematics/Economics/Econometrics Or BE/B-Tech, MCA or MBA 

 

Read more

at Koo

DP
Posted by Neha Gandhi
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Bengaluru (Bangalore)
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4 - 6 yrs
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₹20L - ₹30L / yr
Machine Learning (ML)
Deep Learning
Python
SQL
Natural Language Processing (NLP)
+1 more
Job description

Problem Statement-Solution
Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects.
The internet has largely been in English. A good part of India is now getting internet
connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users
will balloon to about 600 million users out of the total 750 million internet users in India by
2020. This will make the vernacular segment one of the largest segments in the world -
almost 2x the size of the US population. The vernacular segment has very few products that
they can use on the internet.

One large human need is that of sharing thoughts and connecting with people of the same
community on the basis of language and common interests. Twitter serves this need globally
but the experience is mostly in English. There’s a large unaddressed need for these vernacular
users to express themselves in their mother tongue and connect with others from their
community. Koo is a solution to this problem.
About Koo

Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and
English, which gives a voice to the millions of Indians who communicate in Indian
languages.
Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and
Telugu, Koo enables people from across India to express themselves online in their mother
tongues. In a country where under 10% of the population speaks English as a native
language, Koo meets the need for a social media platform that can deliver an immersive
language experience to an Indian user, thereby enabling them to connect and interact with
each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice
assistant to share their thoughts without having to type. In August 2021, Koo crossed 10
million downloads, in just 16 months of launch.
Since June 2021, Koo is available in Nigeria.
Founding Team
Koo is founded by veteran internet entrepreneurs – Aprameya Radhakrishna (CEO,
Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).

Technology Team & Culture
 
The technology team comprises sharp coders, technology geeks and guys who have been
entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is
coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a
technology team will have a lot to learn from their peers and mentors. Download our android
app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB,
Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep
learning etc. We believe in giving a lot of independence and autonomy to ownership-driven
individuals.
Problems we Solve
[email protected] is a small and focused team with the following main objectives:
1. Make Koo a clean and safe platform.
2. Recommend content and "people to follow" to users they might be interested in.
3. Make content more discoverable by extracting structures in it, such as topics.
4. Each of the above objectives are open problems, when combined with challenges like
people being creative while being mischievous and working with Indic languages
where not much NLP work has been done. We use the latest technologies to solve
these problems and meanwhile build our own state-of-the-art algorithms.

Job Description
● Design, develop, test, deploy, maintain and improve ML models/infrastructure and
software that uses these models.
● Manage individual project priorities, deadlines and deliverables.
● Contribute to engineering efforts from planning and organization to execution and
delivery.
● Design and build new data pipelines from scratch, all the way to deploying them to
production
● Build models and algorithms to understand user interest, user intent, and improve
content relevancy.
● Improve existing recommendation systems, experiment with new directions, and
provide ML solutions in recommendation systems.
● Mentor junior ML engineers in their growth and project deliverables.
Requirements:
● Minimum 4 years’ experience in the field of Machine Learning.
● Proficiency in Python, SQL
● Strong theoretical foundations in ML.
● Experience working with ML and DL frameworks (Scikit-learn, Tensorflow, PyTorch,
Keras)
● Experience with AWS infrastructure (Sagemaker, S3, EKS etc.)
● Experience in NLP/NLU
● Comfortable with frameworks like MLFlow, AirFlow, Git, Flask, Docker, Spark
Technology skill sets required for a matching profile
1. Building and deploying ML models.
2. AWS infrastructure management.
3. Constructing, evaluating, and tuning ML Pipelines.
4. Spark, python, MLFlow, AirFlow, Git, SQ
Read more
DP
Posted by Nipun Gupta
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Bengaluru (Bangalore)
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2 - 6 yrs
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₹10L - ₹30L / yr
Python
Data engineering
Data Engineer
MySQL
MongoDB
+5 more
-Experience with Python and Data Scraping.
- Experience with relational SQL & NoSQL databases including MySQL & MongoDB.
- Familiar with the basic principles of distributed computing and data modeling.
- Experience with distributed data pipeline frameworks like Celery, Apache Airflow, etc.
- Experience with NLP and NER models is a bonus.
- Experience building reusable code and libraries for future use.
- Experience building REST APIs.

Preference for candidates working in tech product companies
Read more
DP
Posted by Sandeep Shadankar
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Bengaluru (Bangalore)
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5 - 10 yrs
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₹50L - ₹80L / yr
Data Science
Machine Learning (ML)
Artificial Intelligence (AI)
Python
Deep Learning
+6 more

Glance – An InMobi Group Company:

Glance is an AI-first Screen Zero content discovery platform, and it’s scaled massively in the last few months to one of the largest platforms in India. Glance is a lock-screen first mobile content platform set up within InMobi. The average mobile phone user unlocks their phone >150 times a day. Glance aims to be there, providing visually rich, easy to consume content to entertain and inform mobile users - one unlock at a time. Glance is live on more than 80 millions of mobile phones in India already, and we are only getting started on this journey! We are now into phase 2 of the Glance story - we are going global!

Roposo is part of the Glance family. It is a short video entertainment platform. All the videos created here are user generated (via upload or Roposo creation tools in camera) and there are many communities creating these videos on various themes we call channels. Around 4 million videos are created every month on Roposo and power Roposo channels, some of the channels are - HaHa TV (for comedy videos), News, Beats (for singing/ dance performances) along with a For You (personalized for a user) and Your Feed (for videos of people a user follows).

 

What’s the Glance family like?

Consistently featured among the “Great Places to Work” in India since 2017, our culture is our true north, enabling us to think big, solve complex challenges and grow with new opportunities. Glanciers are passionate and driven, creative and fun-loving, take ownership and are results-focused. We invite you to free yourself, dream big and chase your passion.

 

What can we promise? 

We offer an opportunity to have an immediate impact on the company and our products. The work that you shall do will be mission critical for Glance and will be critical for optimizing tech operations, working with highly capable and ambitious peer groups. At Glance, you get food for your body, soul, and mind with daily meals, gym, and yoga classes, cutting-edge training and tools, cocktails at drink cart Thursdays and fun at work on Funky Fridays. We even promise to let you bring your kids and pets to work. 

 

What you will be doing?

Glance is looking for a Data Scientist who will design and develop processes and systems to analyze high volume, diverse "big data" sources using advanced mathematical, statistical, querying, and reporting methods. Will use machine learning techniques and statistical analysis to predict outcomes and behaviors. Interacts with business partners to identify questions for data analysis and experiments. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and or prepares output from analysis and experiments to business partners. 

You will be working with Product leadership, taking high-level objectives and developing solutions that fulfil these requirements. Stakeholder management across Eng, Product and Business teams will be required.

 

Basic Qualifications:

  • Five+ years experience working in a Data Science role
  • Extensive experience developing and deploying ML models in real world environments
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or other analytical fields
  • Exceptional familiarity with Python, Java, Spark or other open-source software with data science libraries
  • Experience in advanced math and statistics
  • Excellent familiarity with command line linux environment
  • Able to understand various data structures and common methods in data transformation
  • Experience deploying machine learning models and measuring their impact
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.

 

Preferred Qualifications

  • Experience developing recommendation systems
  • Experience developing and deploying deep learning models
  • Bachelor’s or Master's Degree or PhD that included coursework in statistics, machine learning or data analysis
  • Five+ years experience working with Hadoop, a NoSQL Database or other big data infrastructure
  • Experience with being actively engaged in data science or other research-oriented position
  • You would be comfortable collaborating with cross-functional teams.
  • Active personal GitHub account.
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award-winning California-headquartered analytics product co

Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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2 - 5 yrs
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₹15L - ₹35L / yr
Natural Language Processing (NLP)
Natural Language Toolkit (NLTK)
NLU
SpaCy
CorenNLP
+5 more
About the role: We are looking for a Natural Language Processing (NLP)/ML Engineer to help us improve our NLP products and create new NLP applications. This is a highly technical role and an excellent academic and/or industry background (with specialization in NLP) with a Master's is preferred.

Someone who has strong industrial experience in NLP for a period of 2+ years. Experienced in applying different NLP techniques to problems such as text classification, text summarization, question &answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques. In-depth exposure to some of the Tools/Techniques: SpaCy, NLTK, Gensim, CoreNLP, NLU, NLG tools etc. Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. Desirable to have demonstrated capability to integrate NLP technologies to improve chatbot experience. Exposure to frameworks like DialogFlow, RASA NLU, LUIS is preferred. Contributions to open-source software projects are an added advantage.

Experience in analyzing large amounts of user-generated content and process data in large-scale environments using cloud infrastructure is desirable
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DP
Posted by Srinivasan Saripalli
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Bengaluru (Bangalore)
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0.3 - 0.6 yrs
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₹15,000 - ₹25,000 / mo
Data Science
Machine Learning (ML)
Deep Learning
Python
Computer Vision
+3 more
Hiring for Machine Learning Deep Learning, who have build solutions for computer vision ,nlp, Tensorflow, Pytorch, Tensorflow Lite for Android phone 
Read more
Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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6 - 10 yrs
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₹20L - ₹40L / yr
SDET
Automation
Test Automation (QA)
Selenium
TestNG
+18 more
Responsibilities

  • Design and develop a framework, internal tools, and scripts for testing large-scale data systems, machine learning algorithms, and responsive User Interfaces.
  • Create repeatability in testing through automation
  • Participate in code reviews, design reviews, architecture discussions.
  • Performance testing and benchmarking of Bidgely product suites
  • Driving the adoption of these best practices around coding, design, quality, performance in your team.
  • Lead the team on all technical aspects and own the quality of your teams’ deliverables
  • Understand requirements, design exhaustive test scenarios, execute manual and automated test cases, dig deeper into issues, identify root causes, and articulate defects clearly.
  • Strive for excellence in quality by looking beyond obvious scenarios and stated requirements and by keeping end-user needs in mind.
  • Debug automation, product, deployment, and production issues and work with stakeholders/team on quick resolution
  • Deliver a high-quality robust product in a fast-paced start-up environment.
  • Collaborate with the engineering team and product management to elicit & understand their requirements and develop potential solutions.
  • Stay current with the latest technology, tools, and methodologies; share knowledge by clearly articulating results and ideas to key decision-makers.

Requirements

  •  BS/MS in Computer Science, Electrical or equivalent
  • 6+ years of experience in designing automation frameworks, tools
  • Strong object-oriented design skills, knowledge of design patterns, and an uncanny ability to
    design intuitive module and class-level interfaces
  • Deep understanding of design patterns, optimizations
  • Experience leading multi-engineer projects and mentoring junior engineers
  • Good understanding of data structures and algorithms and their space and time complexities. Strong technical aptitude and a good knowledge of CS fundamentals
  • Experience in non-functional testing and performance benchmarking
  • Knowledge of Test-Driven Development &  implementing CD/CD
  • Strong hands-on and practical working experience with at least one programming language: Java/Python/C++
  • Strong analytical, problem solving, and debugging skills.
  • Strong experience in API automation using Jersey/Rest Assured.
  • Fluency in automation tools, frameworks such as Selenium, TestNG, Jmeter, JUnit, Jersey, etc...
  • Exposure to distributed systems or web applications
  • Good in RDBMS or any of the large data systems such as Hadoop, Cassandra, etc.
  • Hands-on experience with build tools like Maven/Gradle &  Jenkins
  • Experience in testing on various browsers and devices.
  • Strong communication and collaboration skills.
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Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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3 - 8 yrs
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₹20L - ₹40L / yr
Data Science
Deep Learning
Machine Learning (ML)
Natural Language Processing (NLP)
Artificial Neural Network (ANN)
+6 more
Roles and Responsibilities

● Research and develop advanced statistical and machine learning models for
analysis of large-scale, high-dimensional data.

● Dig deeper into data, understand characteristics of data, evaluate alternate
models and validate hypotheses through theoretical and empirical approaches.

● Productize has proven or working models into production-quality code.

● Collaborate with product management, marketing, and engineering teams in
Business Units to elicit & understand their requirements & challenges and
develop potential solutions

● Stay current with the latest research and technology ideas; share knowledge by
clearly articulating results and ideas to key decision-makers.

● File patents for innovative solutions that add to the company's IP portfolio

Requirements

● 4 to 6 years of strong experience in data mining, machine learning and
statistical analysis.

● BS/MS/Ph.D. in Computer Science, Statistics, Applied Math, or related areas
from Premier institutes ( only IITs / IISc / BITS / Top NITs or top US university
should apply)

● Experience in productizing models to code in a fast-paced start-up
environment.

● Fluency in analytical tools such as Matlab, R, Weka etc.

● Strong intuition for data and Keen aptitude on large scale data analysis

● Strong communication and collaboration skills.
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We’re creating the infrastructure to enable crypto's safe

Agency job
via wrackle by Naveen Taalanki
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Bengaluru (Bangalore)
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6 - 15 yrs
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₹40L - ₹90L / yr
Data Science
Deep Learning
Data Scientist
Machine Learning (ML)
Artificial Neural Network (ANN)
+9 more

Responsibilities

  • Building out and manage a young data science vertical within the organization

  • Provide technical leadership in the areas of machine learning, analytics, and data sciences

  • Work with the team and create a roadmap to solve the company’s requirements by solving data-mining, analytics, and ML problems by Identifying business problems that could be solved using Data Science and scoping it out end to end.

  • Solve business problems by applying advanced Machine Learning algorithms and complex statistical models on large volumes of data.

  • Develop heuristics, algorithms, and models to deanonymize entities on public blockchains

  • Data Mining - Extend the organization’s proprietary dataset by introducing new data collection methods and by identifying new data sources.

  • Keep track of the latest trends in cryptocurrency usage on open-web and dark-web and develop counter-measures to defeat concealment techniques used by criminal actors.

  • Develop in-house algorithms to generate risk scores for blockchain transactions.

  • Work with data engineers to implement the results of your work.

  • Assemble large, complex data sets that meet functional / non-functional business requirements.

  • Build, scale and deploy holistic data science products after successful prototyping.

  • Clearly articulate and present recommendations to business partners, and influence future plans based on insights.

 

Preferred Experience

 

  • >8+ years of relevant experience as a Data Scientist or Analyst. A few years of work experience solving NLP problems or other ML problems is a plus

  • Must have previously managed a team of at least 5 data scientists or analysts or demonstrate that they have prior experience in scaling a data science function from the ground 

  • Good understanding of python, bash scripting, and basic cloud platform skills (on GCP or AWS)

  • Excellent communication skills and analytical skills

What you’ll get

  • Work closely with the Founders in helping grow the organization to the next level alongside some of the best and brightest talents around you

  • An excellent culture, we encourage collaboration, growth, and learning amongst the team

  • Competitive salary and equity

  • An autonomous and flexible role where you will be trusted with key tasks.

  • An opportunity to have a real impact and be part of a company with purpose.

Read more
icon
Pune, Bengaluru (Bangalore)
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5 - 8 yrs
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₹15L - ₹22L / yr
Data Science
Artificial Intelligence (AI)
Deep Learning
Machine Learning (ML)
Hadoop
+6 more

Senior Data Scientist - Applied AI


Who we are?

Searce is  a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realise the “Next” in the “Now” for our Clients. We specialise in Cloud Data Engineering, AI/Machine Learning and Advanced Cloud infra tech such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to cloud.


What do we believe?

  • Best practices are overrated
      • Implementing best practices can only make one an average .
  • Honesty and Transparency
      • We believe in naked truth. We do what we tell and tell what we do.
  • Client Partnership
    • Client - Vendor relationship: No. We partner with clients instead. 
    • And our sales team comprises 100% of our clients.

How do we work ?

It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER.

  • Humble: Happy people don’t carry ego around. We listen to understand; not to respond.
  • Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about.
  • Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it.
  • Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver.
  • Innovative: Innovate or Die. We love to challenge the status quo.
  • Experimental: We encourage curiosity & making mistakes.
  • Responsible: Driven. Self motivated. Self governing teams. We own it.

So, what are we hunting for ?

As a Senior Data Scientist, you will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges,

from developing new models using pre-existing components to enable current systems to

be more intelligent. You should be able to train models using existing data and use them in

most creative manner to deliver the smartest experience to customers. You will have to

develop multiple AI applications that push the threshold of intelligence in machines.


Working on multiple projects at a time, you will have to maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You will also have to thrive in a fast, high-energy environment and should be able to balance multiple projects in real-time. The thrill of the next big challenge should drive you, and when faced with an obstacle, you should be able to find clever solutions.You must have the ability and interest to work on a range of different types of projects and business processes, and must have a background that demonstrates this ability.






Your bucket of Undertakings :

  1. Collaborate with team members to develop new models to be used for classification problems
  2. Work on software profiling, performance tuning and analysis, and other general software engineering tasks
  3. Use independent judgment to take existing data and build new models from it
  4. Collaborate and provide technical guidance and come up with new ideas,rapid prototyping and converting prototypes into scalable products
  5. Conduct experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences
  6. Lead AI R&D initiatives to include prototypes and minimum viable products
  7. Work closely with multiple teams on projects like Visual quality inspection, ML Ops, Conversational banking, Demand forecasting, Anomaly detection etc. 
  8. Build reusable and scalable solutions for use across the customer base
  9. Prototype and demonstrate AI related products and solutions for customers
  10. Assist business development teams in the expansion and enhancement of a pipeline to support short- and long-range growth plans
  11. Identify new business opportunities and prioritize pursuits for AI 
  12. Participate in long range strategic planning activities designed to meet the Company’s objectives and to increase its enterprise value and revenue goals

Education & Experience : 

  1. BE/B.Tech/Masters in a quantitative field such as CS, EE, Information sciences, Statistics, Mathematics, Economics, Operations Research, or related, with focus on applied and foundational Machine Learning , AI , NLP and/or / data-driven statistical analysis & modelling
  2. 5+ years of Experience majorly in applying AI/ML/ NLP / deep learning / data-driven statistical analysis & modelling solutions to multiple domains, including financial engineering, financial processes a plus
  3. Strong, proven programming skills and with machine learning and deep learning and Big data frameworks including TensorFlow, Caffe, Spark, Hadoop. Experience with writing complex programs and implementing custom algorithms in these and other environments
  4. Experience beyond using open source tools as-is, and writing custom code on top of, or in addition to, existing open source frameworks
  5. Proven capability in demonstrating successful advanced technology solutions (either prototypes, POCs, well-cited research publications, and/or products) using ML/AI/NLP/data science in one or more domains
  6. Research and implement novel machine learning and statistical approaches
  7. Experience in data management, data analytics middleware, platforms and infrastructure, cloud and fog computing is a plus
  8. Excellent communication skills (oral and written) to explain complex algorithms, solutions to stakeholders across multiple disciplines, and ability to work in a diverse team

Accomplishment Set: 


  1. Extensive experience with Hadoop and Machine learning algorithms
  2. Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them
  3. Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence)
  4. Passion for solving NLP problems
  5. Experience with specialized tools and project for working with natural language processing
  6. Knowledge of machine learning frameworks like Tensorflow, Pytorch
  7. Experience with software version control systems like Github
  8. Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills
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